Within the next three years, the way businesses operate could change significantly. IDC estimates that there could be one billion AI agents by 2029, executing billions of autonomous actions daily. Whether these agents support internal operations or collaborate across boarder partner ecosystems, they will rely on access to enterprise data to operate effectively.
This shift creates major security, governance, and integration challenges for enterprises. Business data is often distributed across on-premises, cloud, and legacy environments, each using different standards, protocols, and operating models. Enabling AI systems to securely access and interact with these siloed environments is far from simple.
But integration alone is not enough. Agentic systems need the ability to access, transform, and move enterprise data in real time to deliver value. Without the right controls in place, however, this level of autonomy can quickly introduce new security and governance risks. Gartner expects agentic AI and autonomous systems to create new categories of enterprise security exposure over the coming years, including increased risks around sensitive data access and leakage.
Because security and governance are critical when AI operates independently across enterprise environments, many organizations are currently running pilot projects before scaling agentic systems into production.
However, these pilots often share important limitations. In many cases, they run inside isolated sandbox environments optimized for agentic workflows and controlled experimentation. While this helps demonstrate the potential of AI, it does not fully reflect real enterprise conditions. In production environments, agents must interact with legacy platforms, file stores, event streams, APIs, and siloed systems that were never originally designed for autonomous operations.
As a result, many businesses struggle to replicate pilot successes at scale. Without secure and governed access to a broad range of business systems, organizations may find it difficult to unlock the full operational value of agentic AI.
Amplify Fusion helps address this challenge by embedding security, governance, and operational control directly into the integration layer. By applying these capabilities at the point of AI execution, the solution allows businesses to connect hard-to-reach legacy systems while applying stringent business controls across all AI-driven actions and workflows. Organizations can also extend and connect existing environments without requiring large-scale replacement projects, helping reduce both costs and operational risk.
Reactive governance is no longer fit for purpose
For more than a decade, governance has largely been reactive. Teams have relied on logs and reports to investigate issues after they occur, then introduced additional safeguards to reduce the risk of similar incidents happening again.
In the era of agentic AI, this approach is no longer sufficient. With hundreds or even thousands of AI agents accessing systems, moving data, and acting independently in real time, organizations will have limited ability to keep humans manually involved in every governance decision.
Amplify Fusion helps enterprises address new governance requirements through central orchestration and event-based automation. The solution enables businesses to confirm that AI driven actions remain aligned with regulatory requirements, governance standards, and internal controls while ensuring AI token consumption remains within predefined limits. It also helps organizations implement additional validation checks to agentic AI outputs, including identifying hallucinations risks and detecting potential exposure of sensitive data.
Enabling businesses to scale and secure AI
When we talk about security and governance for agentic AI, we’re not just speculating. Axway is already working with enterprises to help them accelerate and scale up their AI deployments in production.
For example, we recently worked with a customer that uses Microsoft AI agents to augment the capabilities of its workforce. Previously, the company relied on direct point-to-point integrations to connect these agents with Large Language Models (LLMs) and Robotic Process Automation (RPA) tools, and Retrieval-Augmented Generation (RAG), search, and summarization capabilities through APIs. Over time, this approach created governance and visibility gaps across AI interactions and data flows, increasing concerns around data exposure and control.
By deploying Amplify Fusion, we helped this customer strengthen control and visibility across its agentic systems. Today, Amplify Fusion acts as the centralized governance layer between Microsoft AI agents and the internal IT infrastructure. The solution supports RESTful APIs alongside server-sent event (SSE) streams, while providing centralized logging, tracing, and AI quota management.
Enterprises are moving quickly to embrace agentic AI, but speed without control creates new risks. Autonomous agents can access sensitive systems, trigger actions, and make independent decisions at machine speed. Without centralized governance, this speed quickly turns into security gaps, regulatory exposure, unmanaged costs, and loss of trust.
Amplify Fusion helps enterprises establish the centralized control layer required to operate agentic AI responsibly at scale. The solution enforces policy‑driven guardrails, secure access, and end‑to‑end visibility across APIs, events, and data, helping ensure AI agents operate within defined business and security policies.
The outcome is clear: enterprises can move faster without increasing risk, scale AI initiatives with confidence, and avoid the costly rework that often comes from adding governance too late.
The strategic shift is becoming clear: unchecked autonomy creates exposure, while controlled autonomy becomes a competitive advantage. With Amplify Fusion, organizations can modernize, with the control, visibility, and trust required for production-ready AI.
Take the next step
Whether your business is starting to explore AI or already operating agentic systems, now is the time to strengthen security, governance and operational control. With Amplify Fusion, you can gain centralized visibility and control across AI-driven workflows and deployments.
Learn more about controlling AI execution at scale